Title |
Modeling Low Energy Demand Futures for Buildings: Current State and Research Needs |
ID_Doc |
25254 |
Authors |
Mastrucci, A; Niamir, L; Boza-Kiss, B; Bento, N; Wiedenhofer, D; Streeck, J; Pachauri, S; Wilson, C; Chatterjee, S; Creutzig, F; Dukkipati, S; Feng, W; Grubler, A; Jupesta, J; Kumar, P; Marangoni, G; Saheb, Y; Shimoda, Y; Shoai-Tehrani, B; Yamaguchi, Y; van Ruijven, B |
Title |
Modeling Low Energy Demand Futures for Buildings: Current State and Research Needs |
Year |
2023 |
Published |
|
DOI |
10.1146/annurev-environ-112321-102921 |
Abstract |
Buildings are key in supporting human activities and well-being by providing shelter and other important services to their users. Buildings are, however, also responsible for major energy use and greenhouse gas (GHG) emissions during their life cycle. Improving the quality of services provided by buildings while reaching low energy demand (LED) levels is crucial for climate and sustainability targets. Building sector models have become essential tools for decision support on strategies to reduce energy demand and GHG emissions. Yet current models have significant limitations in their ability to assess the transformations required for LED. We review building sector models ranging from the subnational to the global scale to identify best practices and critical gaps in representing transformations toward LED futures. We focus on three key dimensions of intervention (socio-behavioral, infrastructural, and technological), three megatrends (digitalization, sharing economy, and circular economy), and decent living standards. This review recommends the model developments needed to better assess LED transformations in buildings and support decision-making toward sustainability targets. |
Author Keywords |
residential and commercial; climate change mitigation; scenarios development; energy demand transformation; megatrends; decent living standards |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
EID |
WOS:001101629000028 |
WoS Category |
Environmental Sciences; Environmental Studies |
Research Area |
Environmental Sciences & Ecology |
PDF |
https://www.annualreviews.org/doi/pdf/10.1146/annurev-environ-112321-102921
|